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A three-component decomposition algorithm is proposed for polarimetric SAR data. After extracting the volume scattering component, both the orientation angle compensation and a unitary transformation are applied to the remaining matrix to derive the second and third components which are exactly consistent with either the surface scattering model or the double-bounce scattering model, respectively...
Along with increasingly intense desire to achieve super high-resolution images, synthetic aperture radar (SAR) is facing more severe technical challenges such as sampling, storage and transmission of massive data as well as high complexity of hardware. Compressive sensing (CS) theory, which utilizes the signal sparsity, can implement accurate image reconstruction from an extremely less amount of measurements...
Downward looking sparse linear array three-dimensional synthetic aperture radar (DLSLA 3-D SAR) can obtain 3-D scene properties and has broad application prospects. However, the reconstruction of cross-track dimension usually suffers from incomplete observation, which is caused by the non-uniformly and sparsely distributed virtual antenna phase centers. By formulating the cross-track reconstruction...
InSAR has been widely used in monitoring land subsidence over large area. However, many factors in InSAR processing, such as decorrelation error, atmosphere error, height error and thermal noise limit the accuracy of InSAR measurements. The height error over urban area is particularly the most difficult issue in TerraSAR-X data processing for its shorter wavelength and higher spatial resolution. We...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features...
Multi-signal compressed sensing with total variation (MTV-CS) is developed for tomographic inversion of building structure. Incorporating with prior information of the building object, some particularly aligned pixels are combined via the minimization of the object function, as indicated by total variation regularization. A numerical simulation of scattering and SAR imaging of the buildings and the...
To overcome the contradiction between wide unambiguous swath and high azimuth resolution in synthetic aperture radar (SAR) system, a multi-channel reconstruction method is investigated to unambiguously recover the azimuth signal even for nonuniform spatial samplings. This reconstruction method is derived from matrix inversion method under least square principle. By taking the system additive noise...
Along a roughly chronological order, the azimuth signals undersampled from the multichannel synthetic aperture radar (SAR) for high-resolution wide-swath (HRWS) imaging correspond to recurrent nonuniform sampling. Only a finite-duration sequence of samples of the azimuth signal can be obtained in practical applications. A new recurrent nonuniform sampling scheme can be generated by extending these...
In this paper, a fully automatic building reconstruction method for high resolution interferometric synthetic aperture radar (InSAR) data is presented. This method is based on stochastic geometrical model. Firstly, a building detection procedure is implemented on the big image and the entire scene is divided into building clips. After that, the reconstruction process is utilized for each building...
This paper presents a three-dimensional (3-D) target reconstruction characterized by its geometric components, i.e. canonical scattering objects. The target is decomposed into some primitive geometries, which are extracted to represent and characterize scattering features. The object parameters are estimated in the frequency domain based on the least square method, and all estimated objects uses the...
Deformation monitoring by multi-baseline synthetic aperture radar (SAR) interferometry is so far the only imaging-based method to assess millimeter-level deformation over large areas from space. Past research mostly focused on optimal deformation parameters retrieval on a pixel-basis. Only until recently, the first demonstration of object-based urban infrastructures monitoring by fusing SAR interferometry...
Block adjustment can improve the accuracy of airborne InSAR data which covers large areas under the conditions of sparse control points, and it can improve the planar and vertical accuracy using a few of gound control points (GCPs). In this paper, we research the orthogonal decomposition of look vector model, three dimensional reconstruction model for airborne InSAR and the sensitivity equations at...
Compact polarimetric (CP) synthetic aperture radar (SAR) is a potential tool for operationally monitoring oil slicks and oil platforms because its large-coverage swath and abundant polarimetric scattering information. In this study, we use C-band RADARSAT-2 quad-polarization (quad-pol) SAR data to simulate CP covariance matrix elements and then construct pseudo quad-pol scattering coefficients by...
For sparse signals (direct or indirect), sparse imaging methods can break through limitations of the conventional SAR methods. In this paper, we introduce the basic theory of sparse representation and reconstruction, and then implements several imaging algorithms including FFT and sparse methods. Through comparison, we conclude a good sparse reconstruction algorithm in SAR imaging. Besides, a new...
Based on the fact that the moving targets are sparse in spatial domain after clutter suppression, we present a novel approach for the indication of moving targets with compressive sensing from dual-channel spaceborne SAR sparse raw data. Moreover, the detection performance measures in terms of GMTI are different from the existing ones for CS. In this paper, the probability of detection (PD)-curves...
The next generation of space-borne synthetic aperture radar (SAR) systems will emphasize on high-resolution and wide-swath imaging. For these design purposes, multichannel technology in azimuth is a promising candidate. In the multichannel SAR system, the nonuniform azimuth signal needs to be reconstructed when the pulse repetition frequency (PRF) deviates from a specific one. The traditional digital...
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